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  1. NTU Theses and Dissertations Repository
  2. 生物資源暨農學院
  3. 農業經濟學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/88016
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor楊豐安zh_TW
dc.contributor.advisorFeng-An Yangen
dc.contributor.author饒靜怡zh_TW
dc.contributor.authorLarisa Jane L. Salaysayen
dc.date.accessioned2023-08-01T16:25:05Z-
dc.date.available2023-11-09-
dc.date.copyright2023-08-01-
dc.date.issued2023-
dc.date.submitted2023-07-04-
dc.identifier.citationREFERENCES
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Babyenda, P., Kabubo-Mariara, J., & Odhiambo, S. (2021). Climate Variability and Household Welfare Outcomes in Uganda. Tanzanian Economic Review, 11(1). Available at http://www.journals.udsm.ac.tz/index.php/ter/article/view/4163
Bangko Sentral ng Pilipinas. (n.d.). US dollar rates of selected currencies. https://www.bsp.gov.ph/statistics/external/tab14_usd_data.aspx
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Barrios, A., Trincado, G., & Garreaud, R. (2018). Alternative approaches for estimating missing climate data: application to monthly precipitation records in South-Central Chile. Forest Ecosystems, 5(1), 1-10. https://doi.org/10.1186/s40663-018-0147-x
Bui, A. T., Dungey, M., Nguyen, C. V., & Pham, T. P. (2014). The impact of natural disasters on household income, expenditure, poverty, and inequality: evidence from Vietnam. Applied Economics, 46(15), 1751-1766. DOI: 10.1080/00036846.2014.884706
Bayudan-Dacuycuy, C., & Baje, L. K. (2019). When it rains, it pours? analyzing the rainfall shocks-poverty nexus in the Philippines. Social Indicators Research, 145(1), 67-93. https://doi.org/10.1007/s11205-019-02111-1
Climate in the Philippines. (n.d.). PAGASA. https://www.pagasa.dost.gov.ph/information/climate-philippines
Climate Change Impacts on Agriculture and Food Supply | US EPA. (2022). US EPA. https://www.epa.gov/climateimpacts/climate-change-impacts-agriculture-and-food-supply
Climate Change Commission. (n.d.). Climate Change Impacts. NICCDIES. https://niccdies.climate.gov.ph/climate-change-impacts#:~:text=Impacts%20of%20climate%20change%20in,as%20women%20and%20indigenous%20people.
Datt, G., & Hoogeveen, H. (2003). El Niño or El Peso? Crisis, poverty and income distribution in the Philippines. World Development, 31(7), 1103-1124. https://doi.org/10.1016/S0305-750X(03)00060-3
Deaton, A., & Zaidi, S. (2002). Guidelines for constructing consumption aggregates for welfare analysis (Vol. 135). World Bank Publications.
Nguyen, T. T., Nguyen, T. T., & Grote, U. (2020). Multiple shocks and households' choice of coping strategies in rural Cambodia. Ecological Economics, 167, 106442. https://doi.org/10.1016/j.ecolecon.2019.106442
Nguyen, T. T., Nguyen, T. T., Le, V. H., Managi, S., & Grote, U. (2020). Reported weather shocks and rural household welfare: Evidence from panel data in Northeast Thailand and Central Vietnam. Weather and Climate Extremes, 30, 100286. https://doi.org/10.1016/j.wace.2020.100286
Holleman, C., Rembold, F., Crespo, O. & Conti, V. 2020. The impact of climate variability and extremes on agriculture and food security – An analysis of the evidence and case studies. Background paper for The State of Food Security and Nutrition in the World 2018. FAO Agricultural Development Economics Technical Study No. 4. Rome, FAO. https://doi.org/10.4060/cb2415en
Intergovernmental Panel on Climate Change (2023). Summary for Policymakers. In: Climate Change 2023: Synthesis Report. A Report of the Intergovernmental Panel on Climate Change. Contribution of Working Groups I, II and III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Core Writing Team, H. Lee and J. Romero (eds.)]. IPCC, Geneva, Switzerland, (in press). https://www.ipcc.ch/report/ar6/syr/downloads/report/IPCC_AR6_SYR_SPM.pdf
Jeschonnek, L., Mucke, P., Walter, J., & Kirch, L. (2017). World Risk Report: Analysis and Prospects 2017. Bündnis Entwicklung Hilft, Berlin, and United Nations University–Institute for Environment and Human Security, Bonn. Available at https://www.preventionweb.net/publication/world-risk-report-analysis-and-prospects-2017
Lotze-Campen, H., & Schellnhuber, H. J. (2009). Climate impacts and adaptation options in agriculture: what we know and what we don’t know. Journal für verbraucherschutz und Lebensmittelsicherheit, 4, 145-150. https://doi.org/10.1007/s00003-009-0473-6
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Quisumbing, A. R., Meinzen-Dick, R., Raney, T. L., Croppenstedt, A., Behrman, J. A., & Peterman, A. (2014). Closing the knowledge gap on gender in agriculture. Gender in agriculture: Closing the knowledge gap, 3-27. https://doi.org/10.1007/978-94-017-8616-4_1
Safir, A., Piza, S. F., & Skoufias, E. (2013). Disquiet on the weather front: The welfare impacts of climatic variability in the rural Philippines. World Bank Policy Research Working Paper, (6579). Available at SSRN: https://ssrn.com/abstract=2313534
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/88016-
dc.description.abstract-zh_TW
dc.description.abstractABSTRACT
This paper examines the impact of climate variability and extreme weather on total expenditure, food expenditure, non-food expenditure and total income of agricultural households in the Philippines. Using data from the Family Income and Expenditure Survey (FIES) and Philippine Atmospheric Geophysical and Astronomical Services Administration (PAGASA), the results show that rainfall variability and temperature variability adversely impact all welfare measures. Also, households who have experienced drought in the past 12 months have significantly lower total expenditure, food expenditure, non-food expenditure, and total income.
Subgroup analysis shows that women and older household heads are more vulnerable to rainfall variability and drought. Meanwhile, the heterogeneity due to educational attainment is not consistent. The subgroup analysis of sub-sectors shows that both the crops sub-sector and the livestock and poultry sub-sectors are adversely affected by rainfall variability and drought. However, the sub-sector that is more impacted by rainfall variability and drought varies depending on the outcome variable.
The findings of the study provide evidence that programs targeted at the household level, especially to women and older people, are necessary to adapt to climate change. Furthermore, efforts should be focused on rainfed agriculture and water management.
en
dc.description.provenanceSubmitted by admin ntu (admin@lib.ntu.edu.tw) on 2023-08-01T16:25:05Z
No. of bitstreams: 0
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dc.description.provenanceMade available in DSpace on 2023-08-01T16:25:05Z (GMT). No. of bitstreams: 0en
dc.description.tableofcontentsTABLE OF CONTENTS
ABSTRACT ii
LIST OF FIGURES v
LIST OF TABLES vi
Chapter 1: INTRODUCTION 1
1.1. Background of the study 1
1.2. Research objectives 4
Chapter 2: REVIEW OF RELATED LITERATURE 6
2.1. Climate variability and household welfare 6
2.2. Extreme weather and household welfare 10
Chapter 3: DATA AND DESCRIPTIVE STATISTICS 14
3.1. Overview of the Family Income and Expenditure Survey 14
3.2. Outcome variables 15
3.3. Treatment variables 15
3.4. Control variables 19
3.5. Descriptive statistics 20
Chapter 4: METHODOLOGY 26
4. 1. Conceptual framework 26
4.2. Empirical model 27
Chapter 5: RESULTS 30
5.1. Impact of climate variability on total expenditure 30
5.1.1. Regression results 30
5.1.2. Heterogeneity of impacts 33
5.2. Impact of climate variability on food expenditure 35
5.2.1. Regression results 35
5.2.1. Heterogeneity of impacts 35
5.3. Impact of climate variability on non-food expenditure 38
5.3.1. Regression results 38
5.3.2. Heterogeneity of impacts 38
5.4. Impact of climate variability on total income 41
5.4.1. Regression results 41
5.4.2. Heterogeneity of impacts 44
5.5. Impact of drought on total expenditure 45
5.5.1. Regression results 45
5.5.2. Heterogeneity of impacts 47
5.6. Impact of drought on food expenditure 49
5.6.1. Regression results 49
5.6.2. Heterogeneity of impacts 50
5.7. Impact of drought on non- food expenditure 50
5.7.1. Regression results 50
5.7.2. Heterogeneity of impacts 50
5.8. Impact of drought on total income 55
5.8.1. Regression results 55
5.8.2. Heterogeneity of impacts 56
Chapter 6: DISCUSSION 59
6.1. Rainfall variability and temperature variability 59
6.1.1. Regression results 59
6.1.2. Heterogeneity of impacts 62
6.2. Drought 65
6.2.1. Regression results 65
6.2.2. Heterogeneity of impacts 65
Chapter 7: CONCLUSION AND RECOMMENDATIONS 68
REFERENCES 70
APPENDICES 73
Appendix A - List of provinces with ground station 73
Appendix B - Province and station matching 74
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dc.language.isoen-
dc.subject農家福利zh_TW
dc.subject氣候變化zh_TW
dc.subject極端氣候zh_TW
dc.subject氣候變異zh_TW
dc.subjectclimate variabilityen
dc.subjectextreme weather eventsen
dc.subjectclimate changeen
dc.subjecthousehold welfareen
dc.title氣候變異與極端氣候對農家福利的相關性: 以菲律賓為例zh_TW
dc.titleThe association of climate variability and extreme weather with agricultural household welfare: The case of the Philippinesen
dc.typeThesis-
dc.date.schoolyear111-2-
dc.description.degree碩士-
dc.contributor.oralexamcommittee何率慈;林巧涵zh_TW
dc.contributor.oralexamcommitteeShuay-Tsyr Ho;Chiao-Han Linen
dc.subject.keyword氣候變異,極端氣候,氣候變化,農家福利,zh_TW
dc.subject.keywordclimate variability,extreme weather events,climate change,household welfare,en
dc.relation.page74-
dc.identifier.doi10.6342/NTU202301235-
dc.rights.note同意授權(限校園內公開)-
dc.date.accepted2023-07-05-
dc.contributor.author-college生物資源暨農學院-
dc.contributor.author-dept農業經濟學系-
dc.date.embargo-lift2028-06-28-
顯示於系所單位:農業經濟學系

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